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abstract

Fourth international workshop on reverse variability engineering (REVE 2016)

Published: 16 September 2016 Publication History

Abstract

From organizational issues to purely technical challenges, there is a wide range of barriers that complicates Software Product Line (SPL) adoption. This workshop aims to foster research about making the most of two main inputs for SPL migration: 1) domain knowledge and 2) existing legacy assets. Domain knowledge, usually implicit and spread across an organization, is key to define the SPL scope and to validate the variability model and its semantics. At the technical level, domain expertise is also needed to create reusable software components. Regarding legacy assets, they use to be similar product variants (e.g. requirements, models, source code etc.) that were implemented using ad-hoc reuse techniques such as clone-and-own. These assets can be leveraged in extractive SPL adoption processes. The workshop REverse Variability Engineering (REVE) attracts researchers and practitioners contributing processes, techniques, tools, or empirical studies related to the automatic, semi-automatic or manual extraction or refinement of SPL assets.

References

[1]
R. E. Lopez-Herrejon, T. Ziadi, J. Martinez, and A. K. Thurimella. 1st International Workshop on Reverse Variability Engineering. In CSMR, Genova, Italy, March 5-8, 2013.
[2]
R. E. Lopez-Herrejon, T. Ziadi, J. Martinez, and A. K. Thurimella. Second international workshop on reverse variability engineering (REVE 2014). In SPLC, Florence, Italy, September 15-19, page 354, 2014.
[3]
R. E. Lopez-Herrejon, T. Ziadi, J. Martinez, A. K. Thurimella, and M. Acher. Third international workshop on reverse variability engineering (REVE 2015). In SPLC 2015, Nashville, TN, USA, July 20-24, page 394, 2015.

Cited By

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  • (2019)Seventh International Workshop on Reverse Variability Engineering (REVE 2019)Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A10.1145/3336294.3342365(324-324)Online publication date: 9-Sep-2019
  • (2018)REVE 2018Proceedings of the 22nd International Systems and Software Product Line Conference - Volume 110.1145/3233027.3241371(296-296)Online publication date: 10-Sep-2018

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Published In

cover image ACM Other conferences
SPLC '16: Proceedings of the 20th International Systems and Software Product Line Conference
September 2016
367 pages
ISBN:9781450340502
DOI:10.1145/2934466
  • General Chair:
  • Hong Mei
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • Huawei Technologies Co. Ltd.: Huawei Technologies Co. Ltd.
  • Key Laboratory of High Confidence Software Technologies: Key Laboratory of High Confidence Software Technologies, Ministry of Education
  • DC Holdings: Digital China Holdings Limited

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2016

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Author Tags

  1. extractive product line adoption
  2. mining existing assets
  3. reverse engineering
  4. software product line engineering

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SPLC '16
Sponsor:
  • Huawei Technologies Co. Ltd.
  • Key Laboratory of High Confidence Software Technologies
  • DC Holdings

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Overall Acceptance Rate 167 of 463 submissions, 36%

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Cited By

View all
  • (2019)Seventh International Workshop on Reverse Variability Engineering (REVE 2019)Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A10.1145/3336294.3342365(324-324)Online publication date: 9-Sep-2019
  • (2018)REVE 2018Proceedings of the 22nd International Systems and Software Product Line Conference - Volume 110.1145/3233027.3241371(296-296)Online publication date: 10-Sep-2018

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